Results 61 to 70 of about 55,281 (143)
We introduce ENHYDROSS, a new mechanistic model that uses optimal swimming speed and minimum cost of transport to estimate maximum dispersal distances and durations for vertebrates, enabling assessment of long‐distance oceanic dispersal potential. Applied to a range of extant and extinct animals, the model's estimates generally align with observed data;
Alexandros Pantelides +5 more
wiley +1 more source
A GA‐BP neural network model with optimized preprocessing and clustering reduces line loss calculation errors and improves efficiency in distribution networks. ABSTRACT Traditional methods for calculating distribution line losses often rely on complex mathematical models and extensive operational data, leading to cumbersome processes that struggle to ...
Tianjun Chen +4 more
wiley +1 more source
Algebraic and Geometric Aspects of Integrable Systems and Random Matrices [PDF]
openaire +1 more source
Smart meter (SM): Collect the data of users' electricity consumption periodically, and preprocess the noise reduction by using the Robust Local Weighted Regression algorithm, then encrypt the private data in it by Boneh‐Goh‐Nissim homomorphic encryption, and submit the encrypted private data to the fog node.
Jiangtao Guo +5 more
wiley +1 more source
ABSTRACT Background and Aim Hospitalization due to trauma places a significant financial burden on healthcare systems, patients, and insurers. Predicting the length of stay can support resource management and workflow, ultimately enhancing healthcare interventions.
Maasoumeh Maghsoudi +3 more
wiley +1 more source
Abstract String theory has strong implications for cosmology, implying the absence of a cosmological constant, ruling out single‐field slow‐roll inflation, and that black holes decay. The origins of these statements are elucidated within the string‐theoretical swampland programme.
Kay Lehnert
wiley +1 more source
Testing Hypotheses of Covariate Effects on Topics of Discourse
ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley +1 more source
Abstract In paleomagnetism, bulk measurements of entire samples have traditionally been used to characterize remanent magnetization. While effective, this approach provides only a general directional estimate and cannot resolve spatial variability or magnetization at the grain scale.
Gelson F. Souza‐Junior +5 more
wiley +1 more source
A Bayesian perspective on orientation estimation in cryo‐EM is presented, with the minimum mean‐square error estimator outperforming standard cross‐correlation‐based approaches, particularly under challenging low signal‐to‐noise conditions. We demonstrate that improved orientation estimation has a decisive impact on 3D reconstruction quality and ...
Sheng Xu +3 more
wiley +1 more source
Opening the Black Box of EU Digital Sovereignty: A Macro‐Level Analysis of the Concept's Development
ABSTRACT Digital sovereignty has emerged as a central organizing principle in European Union governance, yet systematic understanding of its conceptual evolution remains limited. This article provides the first macro‐level analysis of how digital sovereignty evolves across institutional and academic domains.
Aleksei Turobov +2 more
wiley +1 more source

